I am an AI Solutions & Agentic Systems Architect and PMP-certified technical leader with more than a decade of experience building intelligent systems across telecom, cloud, and AI-driven environments. I specialize in designing GenAI, LLM, and multi-agent architectures that turn complexity into scalable, real-world solutions.

My career began in advanced networking and system intelligence, where I worked on optimization, autonomous control, and distributed data flows within 4G/5G/6G systems. This foundation naturally evolved into AI-native architectures and, later, into GenAI and multi-agent systems as the technology matured.

Over the years, I have contributed to major R&D initiatives, authored peer-reviewed publications, and secured granted patents in AI-native automation, intelligent NFs, and distributed decision systems. This background enables me to approach AI not just as a model problem, but as a full system-level architecture challenge.

Today, my focus is on building solutions that combine:

•     -  GenAI & LLM-driven reasoning

•     -  Multi-agent orchestration and autonomy

•     -  Cloud-scale AI pipelines and vector search

•     -  AI-native network intelligence (5G/6G)

•     -  Data/QoD governance and observability

I am a strong believer that future AI systems must be agentic, distributed, and context-aware, and I design architectures with these principles at their core.

As a PMP-certified leader, I bring structure, clarity, and cross-functional coordination to complex AI initiatives. My long-term aspiration is to lead AI Solutions or AI Systems divisions, where technology, strategy, and execution come together to build truly intelligent platforms.

If you are exploring GenAI, agentic workflows, or next-generation AI architectures, I’d be happy to connect